activity
20212026
most citedDeep Forest: Neural Network reconstruction of intergalactic medium temperature

5 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.CO2026

Measuring the ultraviolet background at from the quasar proximity effect in DESI DR1

Patrick Shaw, Rupert A. C. Croft

Ionizing radiation from quasars reduces the abundance of neutral hydrogen in the surrounding intergalactic medium (IGM), suppressing Ly absorption. This absorption deficit, know…

astro-ph.CO2025★ 2 cited

Large-scale surveys of the quasar proximity effect

Rupert A. C. Croft, Patrick Shaw, Ann-Marsha Alexis +6

The UV radiation from high redshift quasars causes a local deficit in the neutral hydrogen absorption (Lyman-alpha forest) in their spectra, known as the proximity effect. Measurem…

astro-ph.CO2024

Forecasting the Detection of Lyman-Alpha Forest Weak Lensing from the Dark Energy Spectroscopic Instrument and Other Future Surveys

Patrick Shaw, Rupert A. C. Croft, R. Benton Metcalf

The apparent angular positions of quasars are deflected on the sky by the gravitational field sourced by foreground matter. This weak lensing effect is measurable through the disto…

astro-ph.CO2022

Weak Lensing the non-Linear Ly-alpha Forest

Patrick Shaw, Rupert A. C. Croft, R. Benton Metcalf

We evaluate the performance of the Lyman- forest weak gravitational lensing estimator of Metcalf et al. on forest data from hydrodynamic simulations and ray-traced simulated len…

astro-ph.CO2021★ 5 cited

Deep Forest: Neural Network reconstruction of intergalactic medium temperature

Runxuan Wang, Rupert A. C. Croft, Patrick Shaw

We explore the use of Deep Learning to infer the temperature of the intergalactic medium from the transmitted flux in the high redshift Lyman-alpha forest. We train Neural Networks…